"""
filename = 'images/redhat.ppm'
im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
print('Filename = {0}'.format(filename))
print('Data type = {0}'.format(type(im)))
print('Image shape = {0}'.format(im.shape))
print('Image size = {0}'.format(im.size))
cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename, im)
numberLevels = 7
quantizedImage = ipcv.quantize(im,
numberLevels,
qtype='uniform',
displayLevels=256)
cv2.namedWindow(filename + ' (Uniform Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (Uniform Quantization)', quantizedImage)
numberLevels = 7
quantizedImage = ipcv.quantize(im,
numberLevels,
qtype='igs',
displayLevels=256)
cv2.namedWindow(filename + ' (IGS Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (IGS Quantization)', quantizedImage)
action = ipcv.flush()
filename = home + os.path.sep + 'src/python/examples/data/crowd.jpg'
filename = home + os.path.sep + 'src/python/examples/data/redhat.ppm'
filename = home + os.path.sep + 'src/python/examples/data/linear.tif'
filename = home + os.path.sep + 'src/python/examples/data/lenna.tif'
im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
print('Filename = {0}'.format(filename))
print('Data type = {0}'.format(type(im)))
print('Image shape = {0}'.format(im.shape))
print('Image size = {0}'.format(im.size))
cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename, im)
numberLevels = 7
quantizedImage = ipcv.quantize(im,
numberLevels,
qtype='uniform',
displayLevels=256)
cv2.namedWindow(filename + ' (Uniform Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (Uniform Quantization)', quantizedImage)
numberLevels = 7
quantizedImage = ipcv.quantize(im,
numberLevels,
qtype='igs',
displayLevels=256)
cv2.namedWindow(filename + ' (IGS Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (IGS Quantization)', quantizedImage)
action = ipcv.flush()
home = os.path.expanduser('~')
# filename = home + os.path.sep + 'src/python/examples/data/crowd.jpg'
# filename = home + os.path.sep + 'src/python/examples/data/redhat.ppm'
filename = home + os.path.sep + 'src/python/examples/data/linear.tif'
# filename = home + os.path.sep + 'src/python/examples/data/lenna.tif'
im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
print('Filename = {0}'.format(filename))
print('Data type = {0}'.format(type(im)))
print('Image shape = {0}'.format(im.shape))
print('Image size = {0}'.format(im.size))
cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename, im)
#UNIFORM TESING
numberLevels = 7
quantizedImage = ipcv.quantize(im,numberLevels,qtype="uniform",displayLevels=256)
cv2.namedWindow(filename + ' (Uniform Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (Uniform Quantization)', quantizedImage)
print("uniform image size = " + str(quantizedImage.size))
#IGS TESTING
numberLevels = 7
quantizedImage = ipcv.quantize(im,numberLevels, qtype="igs", displayLevels=256)
cv2.namedWindow(filename + ' (IGS Quantization)', cv2.WINDOW_AUTOSIZE)
cv2.imshow(filename + ' (IGS Quantization)', quantizedImage)
print("igs image size = " + str(quantizedImage.size))
action = ipcv.flush()